• DocumentCode
    2529687
  • Title

    Pattern matching for spatial point sets

  • Author

    Cardoze, David E. ; Schulman, Leonard J.

  • Author_Institution
    Coll. of Comput., Georgia Inst. of Technol., Atlanta, GA, USA
  • fYear
    1998
  • fDate
    8-11 Nov 1998
  • Firstpage
    156
  • Lastpage
    165
  • Abstract
    Two sets of points in d-dimensional space are given: a data set D consisting of N points, and a pattern set or probe P consisting of k points. We address the problem of determining whether there is a transformation, among a specified group of transformations of the space, carrying P into or near (meaning at a small directed Hausdorff distance of) D. The groups we consider are translations and rigid motions. Runtimes of approximately O(nlogn) and O(ndlogn) respectively are obtained (letting n=max{N,k} and omitting the effects of several secondary parameters). For translations, a runtime of approximately O(n(ak+1)log2n) is obtained for the case that a constant fraction α<1 of the points of the probe is allowed to fail to match
  • Keywords
    computational geometry; pattern matching; d-dimensional space; directed Hausdorff distance; pattern matching; rigid motions; spatial point sets; Constellation diagram; Educational institutions; Electrical capacitance tomography; Electronic switching systems; Pattern matching; Probes; Runtime; Space technology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Foundations of Computer Science, 1998. Proceedings. 39th Annual Symposium on
  • Conference_Location
    Palo Alto, CA
  • ISSN
    0272-5428
  • Print_ISBN
    0-8186-9172-7
  • Type

    conf

  • DOI
    10.1109/SFCS.1998.743439
  • Filename
    743439